| Loki vs Dragunov | 74–34 | 68.52% |
| Loki vs Paul | 59–35 | 62.77% |
| Loki vs King | 61–33 | 64.89% |
| Loki vs Bryan | 61–33 | 64.89% |
| Loki vs Heihachi | 52–39 | 57.14% |
| Loki vs Lili | 54–18 | 75.00% |
| Loki vs Kazuya | 44–23 | 65.67% |
| Loki vs Feng | 47–19–1 | 71.21% |
| Loki vs Hwoarang | 44–21 | 67.69% |
| Loki vs Jin | 38–27 | 58.46% |
| Loki vs Asuka | 37–27 | 57.81% |
| Loki vs Eddy | 38–26 | 59.38% |
| Loki vs Yoshimitsu | 43–19 | 69.35% |
| Loki vs Lars | 43–19 | 69.35% |
| Loki vs Steve | 37–23 | 61.67% |
| Loki vs Devil Jin | 42–18 | 70.00% |
| Loki vs Lidia | 39–20 | 66.10% |
| Loki vs Law | 34–21 | 61.82% |
| Loki vs Xiaoyu | 27–28 | 49.09% |
| Loki vs Alisa | 38–17 | 69.09% |
| Loki vs Lee | 35–16 | 68.63% |
| Loki vs Raven | 40–10 | 80.00% |
| Loki vs Azucena | 28–20 | 58.33% |
| Loki vs Jack-8 | 32–15 | 68.09% |
| Loki vs Reina | 28–19 | 59.57% |
| Loki vs Victor | 31–16 | 65.96% |
| Loki vs Jun | 28–18 | 60.87% |
| Loki vs Nina | 24–19 | 55.81% |
| Loki vs Shaheen | 26–10 | 72.22% |
| Loki vs Zafina | 20–14 | 58.82% |
| Loki vs Kuma | 19–10 | 65.52% |
| Loki vs Claudio | 21–6 | 77.78% |
| Loki vs Leo | 17–6 | 73.91% |
| Loki vs Leroy | 16–6 | 72.73% |
| Loki vs Panda | 14–6 | 70.00% |
| Loki vs Anna | 12–5 | 70.59% |
| Loki vs Clive | 5–4 | 55.56% |
Limitations
This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.
For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.
There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.
In the meantime, this page is here to present the data as requested.